Triple
T359462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Digital |
E7815
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | HGST |
E46228
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: HGST | Statement: [Western Digital, acquired, HGST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HGST Context triple: [Western Digital, acquired, HGST]
-
A.
HGST
chosen
HGST is a data storage company and hard drive manufacturer known for its enterprise-class HDDs and SSDs, now operating as a brand under Western Digital.
-
B.
Western Digital
Western Digital is a major American data storage company known for manufacturing hard disk drives, solid-state drives, and related storage solutions for consumers and enterprises.
-
C.
SanDisk
SanDisk is a prominent data storage brand known for its flash memory products such as SD cards, USB drives, and solid-state drives.
-
D.
Toshiba
Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
-
E.
Hewlett-Packard
Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebb248608190b060553219616043 |
completed | Feb. 28, 2026, 1:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f0a43da48190b9888c60cf565f9d |
completed | March 1, 2026, 7:54 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.